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. 2021 Nov 24;12(12):7790-7806.
doi: 10.1364/BOE.441932. eCollection 2021 Dec 1.

Deep learning-based method for the continuous detection of heart rate in signals from a multi-fiber Bragg grating sensor compatible with magnetic resonance imaging

Mariusz Krej  1 , Tomasz Osuch  2   3 , Alicja Anuszkiewicz  2   4 , Stanisław Stopinski  5 , Krzysztof Anders  5 , Krzysztof Matuk  6 , Andrzej Weigl  6 , Eugeniusz Tarasow  6   7 , Ryszard Piramidowicz  5 , Lukasz Dziuda  1
Affiliations

Deep learning-based method for the continuous detection of heart rate in signals from a multi-fiber Bragg grating sensor compatible with magnetic resonance imaging

Mariusz Krej et al. Biomed Opt Express. .

Abstract

A method for the continuous detection of heart rate (HR) in signals acquired from patients using a sensor mat comprising a nine-element array of fiber Bragg gratings during routine magnetic resonance imaging (MRI) procedures is proposed. The method is based on a deep learning neural network model, which learned from signals acquired from 153 MRI patients. In addition, signals from 343 MRI patients were used for result verification. The proposed method provides automatic continuous extraction of HR with the root mean square error of 2.67 bpm, and the limits of agreement were -4.98-5.45 bpm relative to the reference HR.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Fig. 1.
Fig. 1.
Multi-point measurement mat: (a) design and (b) physical realization.
Fig. 2.
Fig. 2.
Experimental setup within MRI procedures.
Fig. 3.
Fig. 3.
Block diagram of signal processing
Fig. 4.
Fig. 4.
Scheme of the data flow in a TCN
Fig. 5.
Fig. 5.
Scatter plot (2D histogram) of the HR values obtained by the auxiliary offline method against the reference HR values determined from the ECG signal.
Fig. 6.
Fig. 6.
Bland-Altman plot of the HR values obtained from the auxiliary offline method against the reference HR values determined from the ECG signal.
Fig. 7.
Fig. 7.
Scatter plot (2D histogram) of the HR values obtained by the online method against the reference HR values obtained by the previously verified auxiliary method.
Fig. 8.
Fig. 8.
Bland-Altman plot of the HR values obtained by the online method against the reference HR values obtained by the previously verified auxiliary method.
See this image and copyright information in PMC

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